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Conditionally independent data generation.

, , , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 2050-2060. AUAI Press, (2021)

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TED: Teaching AI to Explain its Decisions., , , , , , , and . AIES, page 123-129. ACM, (2019)Optimal Policies for the Homogeneous Selective Labels Problem.. CoRR, (2020)Interpretable differencing of machine learning models., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 788-797. PMLR, (2023)Who Should Predict? Exact Algorithms For Learning to Defer to Humans., , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10520-10545. PMLR, (2023)Heavy Sets with Applications to Interpretable Machine Learning Diagnostics., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 5918-5930. PMLR, (2023)Characterization of Overlap in Observational Studies., , , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 788-798. PMLR, (2020)Multi-Level Explanations for Generative Language Models., , , , , , , , , and 1 other author(s). CoRR, (2024)The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers., , , , , , , , , and . CoRR, (2024)Adversarial Auditing of Machine Learning Models under Compound Shift., , , and . ESANN, (2023)Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines., , , , , , and . CHIL, page 19-29. ACM, (2020)